Iceberg
Web SaaS
B2B
Mar 2020 – Aug 2021
Role: Product Designer — end-to-end UX for ice experts’ daily workflows (web).
Focus: Geo-data UX for ice operations: routes, constraints, alerts, annotations, reporting; low-signal/offline scenarios.
Team Impact: Shipped a reliable ice-expert ops toolkit used daily; streamlined critical map workflows and incident reporting.
More images in the Visual design section
Operational context
Ice experts assess ice risks and publish guidance that directly impacts vessel safety and route decisions.

Workflow
They review layered geo-data (satellite imagery, ice & weather layers), compare time snapshots, and annotate risk zones + recommended actions for other roles.

Predictions & alerts
Forecasting and alerts help spot emerging threats early and keep teams aligned on the same situation picture.

Users
Ice Experts · Arctic Station Personnel · Vessel Captains

Context
Desktop · Tablet · Video walls


Sources
Arctic hydrocarbon production (project)
Mini-documentary about the platform (YouTube)
Shelf platform project (special feature)
Interactive platform map

Design challenges
  • Faster decisions under uncertainty
    Multi-source data, shifting conditions, poor signal — experts must publish guidance fast.
  • Precise ice annotation (not just points)
    Experts need to mark ice as structured objects (polygons/lines) with attributes and quick edits — not just points — while keeping maps readable.
  • Fit into existing ops workflows
    Expert outputs must flow into routing, alerts, and reporting across roles.
  • Digitize ice standards
    Turn paper taxonomy into consistent UI inputs and reports.
Fragmented maps and workflows → low shared situational awareness
Unified threat map → collaborative work + predictive layers
Before
After
My role
Middle Product Designer
Mar 2020 – Jan 2021

Worked with a UX Researcher to understand how ice experts assess and rank ice threats, then translated those rules into early UX concepts and prototypes. Validated core map interactions and defined the initial threat markup logic so drawn areas matched real-world conditions.

Team
  • Head of Design
  • Ме
  • UX Researcher
Senior Product Designer
Jan 2021 – Aug 2021

Owned end-to-end UX for the Ice Expert module within the ops ecosystem: turned research insights into a dedicated expert workspace, designed key scenarios, map tools, and reporting flows, and aligned solutions with engineering and domain experts. Expanded expert workflows and established a shared “threat language” used across roles.

Team
  • Ме
  • Middle UX-UI
Phases of Work
Domain & onboarding
Goal: Understand Arctic ops constraints + ice expert decision workflow
Output: Roles, key scenarios, initial IA/backlog, data layer taxonomy

My part: Mapped expert mental model, defined first workflows + UI requirements
Validation with users
Goal: Validate critical map flows and threat assessment logic
Output: Findings, UX risk list, updated flows/IA, decision rules checklist

My part: Built testable prototypes, ran iterations with researcher, synthesized changes
End-to-end prototype
Goal: Align on a shared “single operational picture” across roles
Output: Clickable prototype for core roles, scenarios, and handoffs

My part: Owned map framework, threat→action flow, dashboard structure
UI system & production design
Goal: Ship consistent, data-heavy UI for daily ops usage
Output: Components/states, patterns for geo tools, specs for key screens

My part: Designed key screens, standardized map interactions, covered edge cases
Build, QA, iteration
Goal: Reduce implementation gaps and keep ops reliability high
Output: Review cycles, fixes, release notes, post-release improvements

My part: Design QA, engineer sync, validation of tricky scenarios, continuous refinements
Research Process
Immersion
Domain onboarding with ice experts: mapped roles, decisions, and high-stakes constraints (uncertainty, time pressure, low signal). Collected key terminology and data layers, then сформировали personas + initial hypotheses.
Prototyping
Translated hypotheses into lightweight prototypes for the most critical map flows (threat assessment, markup, handoffs). Ran quick iterations to validate logic and interaction patterns before moving to higher-fidelity design.
User Story Map
  • Defined core scenarios + MVP scope
  • Built backlog and release plan
  • Aligned cross-team on priorities
User validation
  • Sessions with ice experts (think-aloud)
  • Captured decision rules + edge cases
  • Produced findings → UX risks → prioritized changes
Visual Design
Goal: Design an ops-grade UI for ice experts — fast, readable, and error-resistant in high-stakes, data-heavy map work.
  • Digitize expert workflows:
    translate paper/legacy practices into modern tools.
  • Long-session usability
    clarity, focus, and low-error interaction for hours on maps.
  • Unified threat language
    consistent visuals for hazards, objects, and classifications.
  • Day/Night theming + contrast
    polar conditions, readability, accessibility.
  • Precision drawing tools
    polygons/lines + attributes for real ice scenarios.
  • Flexible workspaces
    configurable panels and tool combinations per expert.
Product outcomes
Confidentiality note: This case is numbers-free under strict corporate NDA; focus is on decisions and outcomes.
  • Shared operational picture
    Unified threat map and workflows so experts, captains, and stations work from the same up-to-date view.
  • Expert-grade ice annotation tools
    Introduced precise drawing/marking (areas, objects, attributes) to capture real ice situations — not just points.
  • Better threat detection workflow
    Added forecasting / drift layers into decision-making, helping teams spot risks earlier and plan safer routes.
  • Standardized ice classification
    Digitized ice taxonomy into consistent UI inputs and reports, reducing interpretation gaps across roles.
My personal impact
& Key achievements
I grew from mid-level execution to senior ownership on an ops-critical, data-heavy product. I led core map UX and expert workflows end-to-end — from discovery and validation to production delivery.
Delivery ownership
Learned: speed comes from clear scope and risk control.

Handled: defined MVP scope + UX risks, aligned feedback early, and drove iterations to production.
Map UX System
Learned: map UX is a reusable system of states.

Handled: standardized patterns/states for data-dense screens to make expert work faster and predictable.
Threat-to-action flow
Learned: insights matter only when they trigger the next step.

Handled: designed the assess → mark → alert → handoff flow and aligned it across roles and edge cases.
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